Developing control systems for medical applications poses significant challenges, some of which are unique to this field. Physiological systems involve a multitude of interacting subsystems and networks, with multiple feedforward and feedback loops. The dynamics vary both between different individuals, and within the same individual over time. Measurement and estimation of both inter- and intra-patient […]
Based at Harvard University, the Doyle group is comprised of a diverse group of researchers, coming from backgrounds such as computer science, biology, and chemical engineering. Contact us to inquire about open positions.
Utilization of machine learning for identifying symptom severity military-related PTSD subtypes and their biological correlates
Carole E. Siegel, Eugene M. Laska, Ziqiang Lin, Mu Xu, Duna Abu-Amara, Michelle K. Jeffers, Meng Qian, Nicholas Milton, Janine D. Flory, Rasha Hammamieh, Bernie J. Daigle Jr., Aarti Gautam, Kelsey R. Dean, Victor I. Reus, Owen M. Wolkowitz, Synthia H. Mellon, Kerry J. Ressler, Rachel Yehuda, Kai Wang, Leroy Hood, Francis J. Doyle III, Marti Jett & Charles R. Marmar (2021) Translational Psychiatry 11(227).
Machine Learning-Based Anomaly Detection Algorithms to Alert Patients Using Sensor Augmented Pump of Infusion Site Failures
Meneghetti, L., Dassau, E., Doyle III, F. J., & Del Favero, S. (2021). Journal of Diabetes Science and Technology.
Epigenetic biotypes of post-traumatic stress disorder in war-zone exposed veteran and active duty males
Ruoting Yang, Aarti Gautam, Derese Getnet, Bernie J. Daigle, Stacy Miller, Burook Misganaw, Kelsey R. Dean, Raina Kumar, Seid Muhie, Kai Wang, Inyoul Lee, Duna Abu-Amara, Janine D. Flory, The PTSD Systems Biology Consortium, Leroy Hood, Owen M. Wolkowitz, Synthia H. Mellon, Francis J. Doyle III, Rachel Yehuda, Charles R. Marmar, Kerry J. Ressler, Rasha Hammamieh & Marti Jett (2020) Molecular Psychiatry.